本文選題：需求響應(yīng)控制 + 負(fù)荷預(yù)測��； 參考：《山東大學(xué)》2017年碩士論文

【摘要】：近年來我國住宅用戶用電量逐年提升,電力負(fù)荷峰谷差逐漸加大。為削減住宅用戶峰谷負(fù)荷差,基于分時電價的電力需求響應(yīng)項(xiàng)目被廣泛實(shí)施,然而住宅用戶參與度并不高。如何有效利用分時電價提高住宅用戶需求響應(yīng)參與度已成為學(xué)術(shù)界和企業(yè)界共同關(guān)注的熱點(diǎn)問題。提高住宅用戶需求響應(yīng)參與度需從兩方面問題入手:如何輔助用戶制定電器工作計劃,以減少用戶日常工作量;如何自動控制所有用電器的起停,降低電費(fèi)支出。圍繞這兩方面問題,本文做了以下研究工作:首先,分析了住宅用戶電器使用特性,建立了基于點(diǎn)對點(diǎn)倍比法的電器使用行為與耗電量預(yù)測模型;依據(jù)光伏發(fā)電的晝夜周期性規(guī)律,建立了基于點(diǎn)對點(diǎn)倍比法的光伏輸出功率預(yù)測模型。通過上述模型預(yù)測出電器工作計劃。算例分析結(jié)果表明,負(fù)荷預(yù)測模型可有效減少用戶制定電器工作計劃的工作量。然后,針對不同電器的可控性,分別建立了以電器使用時間為決策變量的電器耗電量模型;分別以住宅用戶最小電費(fèi)支出及削減峰荷為負(fù)荷調(diào)度目標(biāo),兩次調(diào)度電器使用時間;根據(jù)部分電器使用時間具有連續(xù)性特點(diǎn),設(shè)計算法簡化模型求解過程。算例分析結(jié)果表明,所提方法可明顯降低電費(fèi)支出及削減耗電量峰值。最后,設(shè)計了住宅用戶需求響應(yīng)控制器,包括硬件電路與軟件流程設(shè)計,結(jié)合預(yù)測出的電器工作計劃與負(fù)荷調(diào)度方法,通過控制器與智能插座協(xié)同工作以控制電器的起停。為住宅用戶自動參與電力需求響應(yīng)提供了一個基本解決方案。
[Abstract]:In recent years, the electricity consumption of residential users in China has been increasing year by year, and the peak and valley difference of power load has gradually increased. In order to reduce the peak and valley load difference of residential users, the electricity demand response project based on time-sharing price has been widely implemented, but the participation of residential users is not high. How to effectively use time-sharing price to improve the participation of residential users in response to demand has become a hot issue that both academia and business circles pay attention to. It is necessary to improve the participation of residential users in response to demand from two aspects: how to assist the users in drawing up the work plan of electrical appliances in order to reduce the daily workload of users, and how to automatically control the starting and stopping of all electrical appliances and reduce the cost of electricity. Around these two problems, this paper has done the following research work: first, analyzed the residential consumer electrical appliance usage characteristic, established the electrical appliance use behavior and the electricity consumption forecast model based on the point to point ratio method; According to the circadian periodicity of photovoltaic power generation, a photovoltaic output power prediction model based on point-to-point ratio method is established. The electrical work plan is predicted by the above model. The result of example analysis shows that the load forecasting model can effectively reduce the work load of the user to make the electrical work plan. Then, aiming at the controllability of different electrical appliances, the electric power consumption model with the electric appliance service time as the decision variable is established, and the minimum electric charge expenditure and the peak load reduction of the residential users are taken as the load dispatching targets respectively, and the service time of the twice dispatching apparatus is taken as the load dispatching target. According to the continuity of some electrical appliances, the algorithm is designed to simplify the process of solving the model. The results of example analysis show that the proposed method can significantly reduce the cost of electricity and the peak value of power consumption. Finally, the design of residential user demand response controller, including hardware circuit and software flow design, combined with the predicted electrical work plan and load scheduling method, through the controller and intelligent socket to work together to control the start and stop of electrical appliances. It provides a basic solution for residential users to participate in electricity demand response automatically.
【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TM73

【相似文獻(xiàn)】

相關(guān)重要報紙文章 前10條

1 記者 劉菊花;2008年全國住宅用戶滿意度測評結(jié)果發(fā)布[N];經(jīng)濟(jì)參考報;2009年

2 齊中熙;住宅用戶滿意度重慶最高北京最低[N];經(jīng)濟(jì)參考報;2006年

3 記者 李志豹;08年度全國住宅用戶滿意度測評結(jié)果發(fā)布[N];中國企業(yè)報;2009年

4 記者　宋賾;2005年全國住宅用戶滿意度逾七成[N];中國建設(shè)報;2006年

5 璐文;住宅用戶滿意度首度出現(xiàn)下降[N];工人日報;2008年

6 孫蔚;住宅用戶滿意度7年來首次下降[N];中國消費(fèi)者報;2008年

7 記者 陸昀;住宅用戶滿意度首度下降[N];中華工商時報;2008年

8 張九陸;你是否遵守契約？[N];通信產(chǎn)業(yè)報;2008年

9 記者 劉霞;2009全國住宅用戶 滿意度測評結(jié)果發(fā)布[N];中國質(zhì)量報;2010年

10 周小燕 黃浩;羊城裝電話年頭旺到年尾[N];通信產(chǎn)業(yè)報;2000年

相關(guān)碩士學(xué)位論文 前2條

1 王彥邦;基于需求響應(yīng)的住宅用戶電力負(fù)荷調(diào)度及其控制器設(shè)計[D];山東大學(xué);2017年

2 鄔鈞云;城市住宅用戶滿意度比較研究[D];江西理工大學(xué);2012年

，

本文編號：1799355